Introduction

Our synergy in our introductory group discussions brought us to a shared interest in movies and their back-end processes and facts. Thus, we decided to explore datasets regarding Movies. Jody enjoys comedies. Lynette and Jeffrey revel in action movies, especially MCU’s Avengers. All in the while, Zhi appreciates romance. There is more than beneath the eye of paying for a movie stub at the theater as there are many components before and after movie releases. Some pre-release factors consisting of budgeting, timeline, and production planning enhance the quality and enjoyability of the movie. While, a few post-factors incorporate ratings, price, marketing, and theater distribution network - all of which aim to drive long-term profitability and to attract a global audience. We are motivated to analyze movie trends, statistics, and logistics such as calculating maximum and minimum revenues, obtaining names of most and least profitable movies or genres, computing the number of tickets sold per movie, and grouping movies based on ranges of budgets. The source of the dataset for our project can be found here.

Summary Paragraph

Within the movies_metadata file, there were significant information that were interesting. The longest runtime of a movie was 1256 minutes. That movie was Centennial. The movie Inception, is significant because it has the highest vote count compared to any other movie. The tagline of Inception is “Your mind is the scene of the crime.” Also, the movie with the highest revenue is Avatar.

Summary Table of Top 25 Grossing Movies

Title Revenue Budget Avg Vote Out of 10
Avatar 2787965087 237000000 7.2
Star Wars: The Force Awakens 2068223624 245000000 7.5
Titanic 1845034188 200000000 7.5
The Avengers 1519557910 220000000 7.4
Jurassic World 1513528810 150000000 6.5
Furious 7 1506249360 190000000 7.3
Avengers: Age of Ultron 1405403694 280000000 7.3
Harry Potter and the Deathly Hallows: Part 2 1342000000 125000000 7.9
Frozen 1274219009 150000000 7.3
Beauty and the Beast 1262886337 160000000 6.8
The Fate of the Furious 1238764765 250000000 6.8
Iron Man 3 1215439994 200000000 6.8
Minions 1156730962 74000000 6.4
Captain America: Civil War 1153304495 250000000 7.1
Transformers: Dark of the Moon 1123746996 195000000 6.1
The Lord of the Rings: The Return of the King 1118888979 94000000 8.1
Skyfall 1108561013 200000000 6.9
Transformers: Age of Extinction 1091405097 210000000 5.8
The Dark Knight Rises 1084939099 250000000 7.6
Toy Story 3 1066969703 200000000 7.6
Pirates of the Caribbean: Dead Man’s Chest 1065659812 200000000 7.0
Rogue One: A Star Wars Story 1056057273 200000000 7.4
Pirates of the Caribbean: On Stranger Tides 1045713802 380000000 6.4
Finding Dory 1028570889 200000000 6.8
Alice in Wonderland 1025491110 200000000 6.4

This table exhibits the top 25 movies based on revenues. It depicts the maximum money a movie is able to generate. In addition, budget and votes are displayed in order to supplement, in general, the movies’ success. Consistently, the top 25 movies demonstrate high revenues, with typically a more costly budget and higher ratings!

Chart 1: Top 10 Most Voted Movies

The purpose of this lollipop chart is to display the top 10 most voted movies. Each movie is ordered from least to most(left to right). The thin line and circle top provides more emphasis on the values of each movie, while giving it a nice and modern look.

Chart 2: Highest Budget on Movie Production Per Year

This chart intends to show the relationship between the maximum budget amounts for movie production from each year. Budget amounts have increased over time as a result of many factors, one being currency inflation and technology equipments and enhancements like CGI used in films.

Chart 4: Correlation between Movie Run Time and Earned Revenue

This chart aims to answer the question whether run time of movies has correlations with the amount of revenues gained upon release of the movies. Question at Hand: Is there a correlation between run time and revenue?